Job Scheduling Strategies for Parallel Processing 19th and 20th International Workshops, JSSPP 2015, Hyderabad, India, May 26, 2015 and JSSPP 2016, Chicago, IL, USA, May 27, 2016, Revised Selected Papers /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edición: | 1st ed. 2017. |
| Colección: | Theoretical Computer Science and General Issues ;
10353 |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-3-319-61756-5 |
Tabla de Contenidos:
- Parallel scheduling challenges raising at multiple levels of abstractions
- node level parallelism
- Minimization of energy consumption in task migration within a many-core chip;
- Task replication in real-time scheduling context
- Data-driven approach to schedule GPU load
- The use of lock-free data structures in OS scheduler
- The influence between user behaviour (think time, more precisely) and parallel scheduling
- Evalix, a predictor for job resource consumption
- Sophisticated and realistic simulation
- Space-filling curves leading to better scheduling of large-scale computers
- Discussion of real-life production experiences.